accelerating data-driven innovation in europe€¦ · 35 large companies 63 smes 82 research...
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Accelerating data-driven innovation in Europe
Laure Le Bars, SAP
BDVA President
www.bdva.eu
194 Members
35 Large companies
63 SMEs
82 Research institutions
14 Others
Present in 28 countries
Industry-driven and fully self-
financed international non–for-profit
organisation under Belgian law
SRIA v4.0 @www.bdva.eu
Manufacturing Processs Industry
+++ Energy Transport/Mobility
Bio-Economy
Health
BDV cPPP (Cross-cutting enabling)
Data Analytics
Data Visualisation
Data Protection
Data management
Data Platforms Data Sharing
AI and Decision making
SPIRE cPPP
BigMedialytics project
Data Bio Project
TT Project
Data Processing architctures
EeB PPP
FoF cPPP
Boost 4.0 project
euRobotics cPPP
Cyber Security
cPPP
HPC cPPP 5G cPPP CPS/IoT
TF3: Community
TF1: Programme
TF2: Impact
TF4: Communication
TF5: Policy & Societal
Policy & Societal
TF6:
Technical
TF6-SG1: Data Management
TF6-SG2: Data Processing Architectures
TF6-SG3: Data Analytics
TF6-SG4: Data Protection and Pseudonymisation Mechanisms
TF6-SG5: Advanced Visualisation and User Experience
TF6-SG6: Standardisation
TF6-SG7: Data Benchmarking
TF7:
Application
TF7-SG2: Telecom
TF7-SG3: Healthcare
TF7-SG4: Media
TF7-SG5: Earth observation & geospatial
TF7-SG6: Smart Manufacturing Industry
TF7-SG7: Mobility and Logistics
TF7-SG8: Smart Cities
TF7-SG9: Agri (
TF8:
Business
TF8-SG1: Data entrepreneurs (SMEs
and startups)
TF8-SG2: Transforming traditional business (Large Enterprise)
TF8-SG3: Observatory on Data Business
Models
TF9:
Skills and Education
TF9.SG1: Skill requirements from
European industries
TF9SG2: Analysis of current curricula related
to data science
TF9.SG3: Liaison with existing educational
projects
Current TF-SG structure (TF5 – TF9)
TF1:Big Data Value Programme
TF1-SG1: Research Priorities and SRIA
TF1-SG4: i-Spaces
TF1-SG6: Work-programme Tracking
TF2: IMPACT
Impact
TF3: Community
TF3-SG1: Membership
TF3-SG2: Liaisons
TF3-SG4 HPC Collaboration
TF4: Communication
Communication
Current TF-SG structure (TF1 – TF4)
CyberS 5G IoT HPC
Industrial Data
Personal Data
Open Data Research Data
Others (Machine
generated Data and emerging
topics)
EOSC
Health Manufacturing
Transport
/mobility
Agri-Food
Energy Media Finances
Smart cities
+++
BDVA / BDV PPP (Industrial implementations – Cross-cutting enabling)
BDVA / BDV PPP (enabling technologies) – Cross-cutting enabling – RESEARCH needed
European Data-Driven Economy
Scope Big Data Value
Big Data Value Reference Model
BDV PPP Implementation projects (H2020-ICT-2016-2017): 33 projects
15 data experimentation / data incubators: Cross sectorial, cross-
lingual data integration and experimentation
4 Large scale pilots (Light house projects) in 4 major application
domains (vertical data platforms):
• Bio Economy
• Transport, mobility and logistics
• Healthcare
• Smart Manufacturing
12 Technical projects covering different data technical challenges
including 3 focused on privacy preserving technologies
2 CSAs (skills, entrepreneurship, privacy, ethical issues, comms,
ecosystem, coordination, etc)
BDV i-Spaces (1)
• i-Spaces are Trusted Data Incubators
targeted to accelerate take up of data
driven innovation in commercial sectors as
well as in nonprofit sectors.
• These platforms host Closed as well as
Open Data from Business and Public
sources.
• The basis of i-Spaces are an existing
infrastructure & expertise.
• They are pre-competitive and nonprofit,
though proposing a sustainable business
model.
• Act as a nucleus in the concept of DIH
Country Initiative Name BDVA label
ES Big Data Centre of Excellence Barcelona
IT Cineca
AUT Know-Center
SE RISE SICS North ICE
DE Smart Data Innovation Lab
FR Teralab
NL EGI Foundation
ES ITI Big Data Space
SILVER
SILVER
SILVER
SILVER
BRONZE
BRONZE
SILVER
SILVER
BDVA labelled i-Spaces
Excellence of INFRASTRUCTURE
PROJECTS & SECTORS
IMPACT to ECOSYSTEM
BUSINESS strategy
QUALITY of SERVICES
BDV i-Spaces (2)
1. The Industry Vision
European Industrial leadership in Data and AI platforms and technologies
Digital platforms dominate value creation across all
sectors and they are at the heart of the digital economy.
Business dynamics are changing, Usage of data will
define global competitiveness.
An strong data economy is emerging in Europe with
large companies and SMEs clearly seeing the
fundamental potential of Big Data Value and AI for
causing disruptive change in markets and business
models.
To secure industrial prosperity in the future Europe
must be able to develop and operate its own Data / AI
platforms and to promote them globally.
To stay competitive Europe needs industrial
leadership in some of the fields of technology that are
key for the development and operations of Data / AI
platforms
Public interventions are needed
in the form of
horizontal cross-sectorial actions
in data value and AI technologies
to ensure European leadership in the
Digital Transformation of society that
address economic challenges for
sectors and key societal challenges
(Migration, Water, energy, climate, food,
etc.) preserving European fundamental
values.
Funding focus should be directed to
those technological fields of strategic
importance and where Europe already
has competences and capacities.
2. Future Challenges of the European Data Economy and Society
• Secure industrial prosperity in the future Europe in the context of the global data-
driven economy
• Industrial leadership in Big Data and AI platforms and technologies (develop,
operate, promote its own Data / AI platforms)
• Secure autonomy in AI technology
• Seamless interconnected Data ecosystems (open, private, research, personal,
…)
• Trusted co-evolution between humans and AI-based systems
• Legal issues with data decisions
• Trust in algorithms and data
• Scalable value chains involving key enabling technologies
• Extracting value from the fusion of technologies
• New data-driven business models across value chains
• Lack of data interoperability. Data sharing and exchange
• Data-driven industrial cooperation across value chains
• Specialisation required (sophistication of the leading-edge tools and algorithms)
• Data will become a significant part of most jobs (Managers, workers and
decision makers)
• Retaining talent: driving new forms of academic and industrial research and
educational partnerships
Next Generation Data and AI Platforms
Trust in Data-Driven Critical Decision Making
Extract Value from Next Generation Digital Infrastructure
(5G, HPC, Cloud, IoT, BD, AI,..)
Scaling Industrial Cooperation Models in the Data Economy
Digital/Data Skills and Know-how
Vision paper BDVA : Main pillars
Trust in Critical Decision Making
Data platforms
Dig
ital
ski
lls a
nd
Kn
ow
Ho
w
Private data
Public data
Personal data
Ind
ust
rial
co
llab
ora
tio
ns
mo
del
s
Bu
sin
ess
an
d le
gal f
ram
ewo
rks
Next Generation Digital Infrastructure BD/AIOTI/HPC/5G/
CyberSecurity
Citizen-Centric Data Society Key societal challenges
Core BDV cPPP
Core BDV cPPP in collaboration
AI Platforms
4. From Challenges to R&I visions for the future (activities)
VISION Papers WORKSHOPS
• Data-Driven AI (technical and non-technical challenges):
• March 2018 (BDVA, euRobotics, AIOTI)
• June 2018 (IoT week, challenges from verticals)
• July 2018 (ijcai-18, BDVA, euRobotics)
• June, September, October 2018 (BDVA workshops)
• November 2018 (EBDVF 2018: Data-driven AI for the Future)
• Data for AI: workshop 19th September 2018 + EBDVF 2018 (Nov.
2018) (Towards a European Data Space)
• Scaling data platforms for re-use of industrial, personal
and open data (workshop planned for Sep 12th 2018, EBDVF 2018)
• Future Scenario workshops driven by verticals (e.g AI in
Healthcare planned for Q3 2018)
• DIH in Big Data and AI (workshop planned for October 2018)
• Technical challenges and data applications for global
challenges (Data management, Data processing architectures,
interoperability, privacy-preserving technologies, Extreme-performance
data analytics) Driven by Verticals and technology integration
• …..
Next Generation Data and AI Platforms
Trust in Data-Driven Critical Decision Making
Extract Value from Next Generation Digital
Infrastructure (5G, HPC, Cloud, IoT, BD, AI,..)
Scaling Industrial Cooperation Models in the Data Economy
Digital/Data Skills and Know-how
4. From Challenges to R&I visions for the future (2) (activities)
VISION Papers, Workshops, Collaborations
• Future Scenario workshops driven by verticals (e.g AI in
Healthcare planned for Q3 2018) in collaboration with other
PPPs
• HPC (ETP4HPC) - Big Data (BDVA) common workshops:
• Ongoing activity (driven by industry-driven scenarios)
• Common paper (draft in July 2018)
• Common workshops envisaged in September 2018, EBDVF
2018 and ICT event 2018.
• Collaborations
• EBDVF 2018
Next Generation Data and AI Platforms
Trust in Data-Driven Critical Decision Making
Extract Value from Next Generation Digital
Infrastructure (5G, HPC, Cloud, IoT, BD, AI,..)
Scaling Industrial Cooperation Models in the Data Economy
Digital/Data Skills and Know-how
National level EU level Worldwide level
Research Innovation
Standards
Regulation/policies
Market
Society
AIOTI ETP4HPC ECSO 5G
Other Sectorial PPPs (and association)s
EIT Digital
Robotics
IDS
Platform Industrie
4.0
NSB
Platform Industrie 4.0
MyData
ISO ITU W3C IEEE ETSI CEN/CENELEC
RDA IIC
National Initiatives BIG DATA VALUE
EC/EU
Big Data Value ecosystem
BDVA Collaborations
Sectorial PPPs: EFFRA
Officially established
Ongoing collaboration with outcomes
Ongoing collaboration (initiated)
Identified collaboration
IoT Forum
Further Information:
BDVA: http://www.bdva.eu/
@BDVA_PPP #Bigdatavalue #Bigdata